Staff Machine Learning Engineer, ML Platform
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We must include sections only when posting has real specific content. We need to extract content.
The posting includes:
- Intro paragraph about Braze culture (maybe "About the role"? Actually "WHAT YOU'LL DO" is responsibilities. "WHO YOU ARE" is requirements/qualifications. There's also "WHAT WE OFFER" benefits. Pay info: "For candidates based in the United States, the pay range ...". Also mention equity grants. So we can have Pay section.
Schedule: Not mentioned. So we should not include Schedule heading.
Skills: Could be derived from WHO YOU ARE (experience, skills). Could combine with Requirements/Qualifications. But we need to follow headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We need to decide which sections to include based on content.
- About the role: Could be the introductory paragraph describing Braze and the role mission? The posting starts with Braze culture then "WHAT YOU'LL DO". The "About the role" could be the paragraph before WHAT YOU'LL DO describing mission. We'll include that.
- Responsibilities: The bullet list under "WHAT YOU'LL DO" (the list of items starting with "As the Staff Engineer on the team, you will:" and then bullet points). We'll put those in - .
- Requirements: Could be the "WHO YOU ARE" section (experience, skills). Could split into Requirements and Qualifications and Skills but we need to avoid duplication. Perhaps we put Requirements as the list of required experience (8+ years building..., Hands-on experience..., Technical leader..., Deep working knowledge..., Effective communicator...). Qualifications could be the bonus items? Or we could combine. But we need to follow instruction: use headings only when posting has real specific content. We have content for Requirements (the main qualifications). We have content for Qualifications (maybe the bonus items). We have content for Skills (maybe the specific technologies). However we risk duplication. Better to map:
- Requirements: the core requirements (8+ years, hands-on ML, technical leader, Kubernetes, communicator).
- Qualifications: maybe the bonus items (Queueing, ML platform tooling, experience in stack, compliance regimes, domain experience). Or we could treat those as Qualifications.
- Skills: maybe the specific technologies list (Python, Ruby on Rails, MongoDB, Redis, Kubernetes). But that overlaps with Qualifications.
Given the instruction to prefer a few substantive sections over many thin ones, we could combine Requirements and Qualifications into one section (maybe Requirements). But we need to follow the allowed headings; we can omit some headings if no content. So we could include only About the role, Responsibilities, Requirements, Benefits, Pay. That satisfies.
We must not include Schedule (no content). Skills we could omit if we put skills inside Requirements.
Thus output:
About the role
... intro paragraph ...
Responsibilities
- ... each bullet ...
Requirements
- ... each requirement bullet ...
Benefits
- ... each benefit bullet ...
Pay
... pay range paragraph ...
We need to preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, AI recruitment process, etc. Must remove those.
We need to extract the intro paragraph for About the role: The first paragraph(s) before WHAT YOU'LL DO: "At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you."
We need to keep that as prose in . Ensure we keep spaces correctly.
Responsibilities: The bullet list after "As the Staff Engineer on the team, you will:" includes:
- Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure
- Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely
- Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale
- Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams
- Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists
- Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership
We need to keep each as
- .
Requirements: The "WHO YOU ARE" section includes paragraphs:
- 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load
- Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement
- A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output
- Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run
- An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making
- Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray
- ML platform tooling such as MLflow or another model registry, feature stores, or ML observability
- Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes)
- Operating under compliance regimes such as SOX or HIPAA
- Customer engagement, personalization, or marketing technology domain experience
We could treat the first five as requirements, and the bonus items as qualifications/skills. But we can just put all as
- under Requirements. That preserves all info.
Benefits: The "WHAT WE OFFER" section includes a paragraph: "Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment." Then a list: "From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:" then bullet list:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
We need to keep that as
- . Also note the introductory sentence before list could be part of
. We'll include a
for the intro sentence(s) then
for list.
Pay: The paragraph: "For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company."
We'll put that in .
We must not include any other sections like Schedule.
We must output only HTML fragment, no markdown fences.
Let's craft.
Be careful to escape any HTML special characters? The text includes & etc. We have "&" in "Benefits such as:" maybe not needed. We have "®" symbol. That's okay as UTF-8. We'll just output as is.
We need to ensure proper nesting.
Let's produce:
About the role
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
Responsibilities
- Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure
- Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely
- Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale
About the role
... intro paragraph ...
Responsibilities
- ... each bullet ...
Requirements
- ... each requirement bullet ...
Benefits
- ... each benefit bullet ...
Pay
... pay range paragraph ...
We need to preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, AI recruitment process, etc. Must remove those. We need to extract the intro paragraph for About the role: The first paragraph(s) before WHAT YOU'LL DO: "At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you." We need to keep that as prose in. Ensure we keep spaces correctly. Responsibilities: The bullet list after "As the Staff Engineer on the team, you will:" includes: - Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure - Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely - Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale - Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams - Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists - Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership We need to keep each as
- . Also note the introductory sentence before list could be part of
. We'll include a
for the intro sentence(s) then
- for list.
Pay: The paragraph: "For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company."
We'll put that in
- Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure
- Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely
- Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale
. We must not include any other sections like Schedule. We must output only HTML fragment, no markdown fences. Let's craft. Be careful to escape any HTML special characters? The text includes & etc. We have "&" in "Benefits such as:" maybe not needed. We have "®" symbol. That's okay as UTF-8. We'll just output as is. We need to ensure proper nesting. Let's produce:
About the role
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
Responsibilities